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behaviors. Additional research interests of the team include: Development and evaluation of health behavior interventions, including interventions focusing on the physical environment and digital
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and determination? We are currently seeking a/an University assistant predoctoral - VISESS Completion Grants 53 Faculty of Earth Sciences, Geography and Astronomy Job vacancy starting: | Working hours
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struggled with tackling such challenging systems. With the emergence of machine learning methods in the physical sciences, things are rapidly changing. This project is part of a large initiative that aims
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hitherto struggled with tackling such challenging systems. With the emergence of machine learning methods in the physical sciences, things are rapidly changing. This project is part of a large initiative
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the complex drivers of landslide risk in rapidly urbanising tropical cities. The project will develop a hybrid modelling framework combining process-based and statistical methods to examine causal feedbacks
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postdoctoral scientist who is excited to develop a user- and developer friendly software platform for MINFLUX. • You should hold a PhD degree in computer science physics or engineering. • You should have a
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: PhD degree in analytical, biological, food, or computational chemistry, biotechnology or related field Experience in mass spectrometry (especially GC-MS) and programming (e.g. R), statistical knowledge
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Lecturer (academic teaching 20 hours and instructional teaching 10 hours) 53 Faculty of Earth Sciences, Geography and Astronomy Job vacancy starting: 01.09.2025 (MM-DD-YYYY) | Working hours: 30,00
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the forefront of numerical analysis for Partial Differential Equations, enriched with data-driven methodologies -- a powerful combination that’s redefining what’s possible in computational science, and is playing
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oversee the selection process for Fellows, where your expertise will be crucial to foster a diverse and competent scientific community at ViCAS. You will act as a bridge between the Fellows and the